1) voting fusion
表决融合
1.
Using feed-forward neural networks and probabilistic neural networks to make voting fusion for different objects, the result shows that participants can achieve a high identification rate of traffic, managers achieving a low false identification rate.
利用前向神经网络和概率神经网络分别对不同的服务对象进行算法表决融合,计算结果表明这样可以实现交通参与者对高检测率、交通管理者对低误判率的不同要求。
2.
A new detection algorithm is reported based on multi-orientation gradient voting fusion for the TV and 3～5 μm infrared point targets under the sea background.
为解决海空复杂背景下弱点目标的检测,针对电视和3~5μm红外弱点目标提出了一种采用多向梯度表决融合的检测方法。
3.
A new detection algorithm based on multi-orientation gradient voting fusion for the TV and 3 infrared target under the sea background were proposed.
对海空背景下的电视和3-5μm红外目标提出了一种采用多向梯度表决融合的检测方法:依据 背景图像中点目标的奇异特性,得到图像的多向剃度检测结果,并进行表决融合。
2) voting fusion arithmetic
表决融合算法
1.
This system may choose Bayesian algorithm, D-S algorithm, voting fusion arithmetic neural network algorithm to make an experiment.
介绍了一个基于数据融合的实验软件系统,该系统可选择贝叶斯算法、D-S 证据理论算法、表决融合算法和神经网络算法4种不同的算法进行数据融合试验。
3) decision fusion
决策融合
1.
Motor condition recognition based on multi-agent decision fusion;
基于多代理决策融合的电机状态识别
2.
Human face recognition algorithm based on wavelet subbands and decision fusion;
基于小波子图和决策融合的人脸识别算法
3.
Decision fusion of redundant knowledge based on rough set;
基于粗集的多知识库决策融合
4) fusion decision
融合决策
1.
Moreover,fusion decision-making method is introduced into the steganalysis and the average minimum risk Bayes decision fusion rule is proposed.
以贝叶斯规则为基础,引入损失函数,分析了决策条件风险和基于最小风险贝叶斯决策规则,并将融合决策方法引入隐写分析研究领域,提出了平均最小风险贝叶斯决策融合规则。
5) fusion decision-making
融合决策
1.
This paper analyzed the limitation of intrusion detection system,discussed the feasibility of data fusion technology applied in IDS domain,prosented an IDS model based on data fusion,arithmetic average method was adopted in fusion decision-making,to reduce missed detection rate and false alarm rate,and proved by simulated experiment.
分析了当前IDS(intrusion detection system)的缺陷,讨论了数据融合技术应用在IDS领域的可行性,提出了一种基于数据融合(data fusion)的IDS(DFIDS)模型,融合决策采用算术平均值的方法,以达到降低漏报率和虚警率的目的,模拟实验证实了这一点。
6) decision level fusion
决策级融合
1.
Long distance targets detection based on multisensor decision level fusion;
基于多传感器决策级融合的远距离目标检测
补充资料：表决
会议上通过举手、投票等方式做出决定：付～ㄧ～通过。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条